xpn

GET /beta/deviceLocalCredentials/[DEVICE-ID]?$select=credentials HTTP/1.1
ocp-client-version: 1.0
client-request-id: 96cbfa59-dbfc-4a92-b261-7f77bd8f4b9b
ocp-client-name: Get-LapsAADPassword Windows LAPS Cmdlet
User-Agent: Mozilla/5.0 (Windows NT 10.0; Microsoft Windows 10.0.22621; en-US) PowerShell/5.1.22621.963 Invoke-MgGraphRequest
SdkVersion: graph-powershell/1.26.0, Graph-dotnet-1.25.1
FeatureFlag: 00000047
Cache-Control: no-store, no-cache
Authorization: Bearer [AAD-JWT-HERE]
Accept-Encoding: gzip

moyix

Using Linear Algebra to Convert a Large Code Model

Background

The SalesForce CodeGen models are a family of large language models trained on a large amount of natural language data and then fine-tuned on specialized datasets of code. Models of size 350M, 2B, 6B, and 16B parameters are provided in three flavors:

• nl, the base model trained on The Pile, a large natural language dataset compiled by EleutherAI
• multi, which is fine-tuned from the nl model on a dataset of code in multiple languages, scraped from GitHub, and
• mono, which is fine-tuned from the multi model on Python code only.

csuwildcat

{
  "method": "ProtocolsConfigure",
  "protocol": "https://identity.foundation/schemas/wallet",
  "protocolVersion": "0.0.1",
  "protocolDefinition": {
    "labels": {
      "persona": {
        "schema": "https://schema.org/Person",
        "dataFormat": [
          "application/json"

simpsoka

Do I want to die on this hill?

• Pass: This is morally good and if not handled has long term consequences
• Fail: This if self serving

Am I including everyone?

• Pass: My ego is not driving this conversation
• Fail: The people in this conversation will only tell me I'm right and not push back

kr

#!/usr/bin/env python

# jsonenv reads a json object as input and produces
# escaped shell commands for setting environment vars

import json
import pipes
import sys

for k, v in json.load(sys.stdin).items():

jpillora

// A small SSH daemon providing bash sessions
//
// Server:
// cd my/new/dir/
// #generate server keypair
// ssh-keygen -t rsa
// go get -v .
// go run sshd.go
//
// Client:

pdxjohnny

Rolling Alice: Progress Report 1: Where are we

https://www.youtube.com/watch?v=dI1oGv7K21A&list=PLtzAOVTpO2jYt71umwc-ze6OmwwCIMnLw

Okay, so we are going to do our series of tutorials on building Alice, our software architect. And so as a part of that we're going to do a bunch of engineering log videos, just the same as we do the weekly sync stuff. So this is going to be not like the weekly sync where we do, you know, it's more of like an office hours. This is more of, you know, whoever's working on something will stream what they're working on so that there's, you know, basically like you can

eyeseast

I have an updated version of this on my blog here: https://chrisamico.com/blog/2023-01-14/python-setup/.

Python

This is my recommended Python setup, as of Fall 2022. The Python landscape can be a confusing mess of overlapping tools that sometimes don't work well together. This is an effort to standardize our approach and environments.

Tools and helpful links:

• Python docs: https://docs.python.org/3/
• Python Standard Library:  - Start here when you're trying to solve a specific problem

csuwildcat

{
  "interface": "Protocols", 
  "method": "Configure",
  "definition": {
    "protocol": "https://chat.protocol/",
    "types": {
      "thread": {
        "schema": "https://chat.protocol/schemas/thread",
        "dataFormat": [
          "application/json"

rubensworks

GraphQL-LD

GraphQL-LD is a way to query Linked Data using GraphQL.

Instead of querying GraphQL interfaces, Linked Data interfaces are queried, such as SPARQL endpoints, TPF interfaces, Linked Data documents, ... This is done by semantifying GraphQL queries using a JSON-LD context.

Try it out from your browser: http://query.linkeddatafragments.org/

Alternatively, install GraphQL-LD or Comunica SPARQL and execute GraphQL-LD queries on your machine